Articles | Volume 11, issue 4
Earth Syst. Sci. Data, 11, 1629–1643, 2019
https://doi.org/10.5194/essd-11-1629-2019
Earth Syst. Sci. Data, 11, 1629–1643, 2019
https://doi.org/10.5194/essd-11-1629-2019
Data description paper
06 Nov 2019
Data description paper | 06 Nov 2019

A new merge of global surface temperature datasets since the start of the 20th century

Xiang Yun et al.

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Cited articles

Anderson, B. T.: Near-term increase in frequency of seasonal temperature extremes prior to the 2 global warming target, Clim. Change, 108, 581–589, https://doi.org/10.1007/s10584-011-0196-4, 2011. 
Church, J. A., Clark, P. U., Cazenave, A., Gregory, J. M., Jevrejeva, S., Levermann, A., and Payne, A. J.: Climate change 2013: the physical science basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, Sea level change, 1137–1216, 2013. 
Cowtan, K. and Way, R. G.: Coverage bias in the HadCRUT4 temperature series and its impact on recent temperature trends, Q. J. Roy. Meteor. Soc., 140, 1935–1944, https://doi.org/10.1002/qj.2297, 2014. 
Hansen, J., Ruedy, R., Sato, M., and Lo, K.: Global surface temperature change, Rev. Geophys., 48, RG4004, https://doi.org/10.1029/2010RG000345, 2010. 
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Global ST datasets have been blamed for underestimating the recent warming trend. This study merged ERSSTv5 with our newly developed C-LSAT, producing a global land and marine surface temperature dataset – CMST. Comparing with existing datasets, the statistical significance of the GMST warming trend during the past century remains unchanged, while the recent warming trend since 1998 increases slightly and is statistically significant.